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The multi-constrained optimal path problem is one of the main issues of Quality-of-Service (QoS) routing, which consists in finding a route between two nodes that meets a series of QoS requirements such as overall delay time, maximum acceptable packet loss ratio, and others. With the aim to improve the QoS routing by considering buffer stages as well as remaining distance to the target, three adaptive routing algorithms in grid-like P2P overlays are presented in this paper: an adaptive probability function, a weighted decision function and a fuzzy-logic approach. In all proposed algorithms, a thermal field is used to communicate the buffer utilization over the network.
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